Drawing on her research in pricing, revenue management, and market design, Dr. Wang explores how leaders can make better pricing and selling decisions when market data is limited, noisy, or constantly changing. Her work focuses on simple, practical strategies that remain effective under uncertainty, helping organizations improve revenue outcomes and design more reliable market mechanisms. This session will offer a timely look at how rigorous analytics can guide smarter decisions in imperfect real-world conditions.

Featuring Dr. Shixin Wang, Tennenbaum Early Career Professor and Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering (ISyE) at Georgia Institute of Technology. Prior to joining Georgia Tech, Dr. Wang was an Assistant Professor in the Department of Decisions, Operations and Technology at The Chinese University of Hong Kong (CUHK) Business School from 2021 to 2025. Her research interests lie in developing simple and robust pricing policies in revenue management, and designing sparse and reliable networks in supply chain and service systems.